771
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 22 Aug 2023
771 points (95.6% liked)
Technology
58898 readers
3843 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related content.
- Be excellent to each another!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, to ask if your bot can be added please contact us.
- Check for duplicates before posting, duplicates may be removed
Approved Bots
founded 1 year ago
MODERATORS
The analogy talks about mixing samples of music together to make new music, but that's not what is happening in real life.
The computers learn human language from the source material, but they are not referencing the source material when creating responses. They create new, original responses which do not appear in any of the source material.
"Learn" is debatable in this usage. It is trained on data and the model creates a set of values that you can apply that produce an output similar to human speach. It's just doing math though. It's not like a human learns. It doesn't care about context or meaning or anything else.
Okay, but in the context of this conversation about copyright I don't think the learning part is as important as the reproduction part.